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      KCI등재 SCOPUS SCIE

      The analysis of groundwater table variations in Sylhet region, Bangladesh

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      https://www.riss.kr/link?id=A104248705

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      다국어 초록 (Multilingual Abstract)

      The trend analysis of the study was acquired by selecting multiyear monthly groundwater table data and monitors the wells in each sub-district under the study area. The intention of this research was to analyze the outcome of the non-parametric Mann-Kendall test at greater than the significance level which is 95% of groundwater level in Sylhet. The aptitude is effective at two conjunctures where the confidence bounds are 95% and it meets the estimate line of Sen’s. To calculate and assess the spatial differences in the inanition of groundwater table, geostatistical methods was applied based on data from 27 groundwater wells during the period from January 1975 to December 2011 which were obtained from a secondary source, Bangladesh Water Development Board. The geographic information system was used to assess the spatial change in order to find the level of groundwater. Cross-validation errors were found within an advisable level in estimating the groundwater depth with different interpolation models of ordinary kriging methods. Finally, surface maps were generated with the best-fitted model. The southeast region was found highly vulnerable from groundwater level point of view. Northern region was detected highest hazard prone area for diverge groundwater using kriging method.
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      The trend analysis of the study was acquired by selecting multiyear monthly groundwater table data and monitors the wells in each sub-district under the study area. The intention of this research was to analyze the outcome of the non-parametric Mann-K...

      The trend analysis of the study was acquired by selecting multiyear monthly groundwater table data and monitors the wells in each sub-district under the study area. The intention of this research was to analyze the outcome of the non-parametric Mann-Kendall test at greater than the significance level which is 95% of groundwater level in Sylhet. The aptitude is effective at two conjunctures where the confidence bounds are 95% and it meets the estimate line of Sen’s. To calculate and assess the spatial differences in the inanition of groundwater table, geostatistical methods was applied based on data from 27 groundwater wells during the period from January 1975 to December 2011 which were obtained from a secondary source, Bangladesh Water Development Board. The geographic information system was used to assess the spatial change in order to find the level of groundwater. Cross-validation errors were found within an advisable level in estimating the groundwater depth with different interpolation models of ordinary kriging methods. Finally, surface maps were generated with the best-fitted model. The southeast region was found highly vulnerable from groundwater level point of view. Northern region was detected highest hazard prone area for diverge groundwater using kriging method.

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      목차 (Table of Contents)

      • ABSTRACT
      • 1. Introduction
      • 2. Materials and Methods
      • 3. Results and Discussion
      • 4. Conclusions
      • ABSTRACT
      • 1. Introduction
      • 2. Materials and Methods
      • 3. Results and Discussion
      • 4. Conclusions
      • References
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      참고문헌 (Reference)

      1 International Rice Research Institute, "World Rice Statistics (WRS)" International Rice Research Institute 2010

      2 Sarkar A, "Water table dynamics of Dhaka City and its long-term trend analysis using the “MAKESENS” model" 34 : 373-382, 2009

      3 Kahya E, "Trend analysis of streamflow in Turkey" 289 : 128-144, 2004

      4 Tabari H, "Trend analysis of reference evapotranspiration in the western half of Iran" 151 : 128-136, 2011

      5 Partal T, "Trend analysis in Turkish precipitation data" 20 : 2011-2026, 2006

      6 Patle GT, "Temporal variability of climatic parameters and potential evapotranspiration" 83 : 518-524, 2013

      7 Bandyopadhyay A, "Temporal trends in estimates of reference evapotranspiration over India" 14 : 508-515, 2009

      8 Ali M, "Sustainability of groundwater resources in the north-eastern region of Bangladesh" 26 : 623-641, 2011

      9 Helsel D, "Statistical methods in water resources" Elsevier 1992

      10 Bui D, "Spatio-temporal analysis of recent groundwater-level trends in the Red River Delta, Vietnam" 20 : 1635-1650, 2012

      1 International Rice Research Institute, "World Rice Statistics (WRS)" International Rice Research Institute 2010

      2 Sarkar A, "Water table dynamics of Dhaka City and its long-term trend analysis using the “MAKESENS” model" 34 : 373-382, 2009

      3 Kahya E, "Trend analysis of streamflow in Turkey" 289 : 128-144, 2004

      4 Tabari H, "Trend analysis of reference evapotranspiration in the western half of Iran" 151 : 128-136, 2011

      5 Partal T, "Trend analysis in Turkish precipitation data" 20 : 2011-2026, 2006

      6 Patle GT, "Temporal variability of climatic parameters and potential evapotranspiration" 83 : 518-524, 2013

      7 Bandyopadhyay A, "Temporal trends in estimates of reference evapotranspiration over India" 14 : 508-515, 2009

      8 Ali M, "Sustainability of groundwater resources in the north-eastern region of Bangladesh" 26 : 623-641, 2011

      9 Helsel D, "Statistical methods in water resources" Elsevier 1992

      10 Bui D, "Spatio-temporal analysis of recent groundwater-level trends in the Red River Delta, Vietnam" 20 : 1635-1650, 2012

      11 Ahmadian M, "Spatial variability zonation of groundwater-table by use geo-statistical methods in central region of Hamadan Province" 3 : 5304-5312, 2012

      12 Akther H, "Spatial and temporal analysis of groundwater level fluctuation in Dhaka City, Bangladesh" 2 : 49-57, 2009

      13 Ramazanipour M, "Seasonal trend analysis of precipitation and discharge parameters in Guilan, north of the Iran" 290-293, 2011

      14 Antonellini M, "Salt-water intrusion in the coastal aquifer of the Southern Po Plain, Italy" 16 : 1541-1556, 2008

      15 Shamsudduha M, "Recent trends in groundwater levels in a highly seasonal hydrological system: The Ganges-Brahmaputra-Meghna Delta" 13 : 2373-2385, 2009

      16 Kendall M, "Rank correlation methods" Charles Griffin & Company, Ltd 1955

      17 Kendall M, "Rank correlation methods" Griffin 1975

      18 Mann H, "Nonparametric tests against trend" 13 : 245-259, 1945

      19 Baalousha H, "Mapping groundwater contamination risk using GIS and groundwater modelling. A case study from the Gaza Strip, Palestine" 4 : 483-494, 2010

      20 Phien-wej N, "Land subsidence in Bangkok, Thailand" 82 : 187-201, 2006

      21 Rossi R, "Kriging in the shadows: Geostatistical interpolation for remote sensing" 49 : 32-40, 1994

      22 Jahan C, "Impact of irrigation in Barind Area, NW Bangladesh – An evaluation based on the meteorological parameters and fluctuation trend in groundwater table" 76 : 134-142, 2010

      23 Chen H, "Historical temporal trends of hydro-climatic variables and runoff response to climate variability and their relevance in water resource management in the Hanjiang Basin" 344 : 171-184, 2007

      24 Jothiprakash V, "Ground water level fluctuations using artificial neural network" 2008

      25 Goovaerts P, "Geostatistics for natural resources evaluation" Oxford University Press 1997

      26 Adhikary S, "Geostatistical analysis of groundwater level fluctuations in the shallow aquifer of northwestern Bangladesh" 2014

      27 Khan F, "Geology of Bangladesh" University Press 2000

      28 Sen P, "Estimates of the regression coefficient based on Kendall's tau" 63 : 1379-1389, 1968

      29 Scott C, "Energy supply and the expansion of groundwater irrigation in the Indus‐Ganges Basin" 7 : 119-124, 2009

      30 Salmi T, "Detecting trends of annual values of atmospheric pollutants by the Mann-Kendall test and Sen's slope estimates" Finnish Meteorological Institute 2002

      31 Aller L, "DRASTIC: A standardized system for evaluating groundwater pollution potential using hydrogeologic settings" USEPA 1987

      32 Konikow L, "Contribution of global groundwater depletion since 1900 to sea-level rise" 38 : L17401-, 2011

      33 Isaaks E, "Applied geostatistics" Oxford University Press 1989

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      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.23 0.23 0.21
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
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